Intelligent Video Surveillance based on Mobile Edge Networks

Haoji Hu, Hangguan Shan, Zhuolin Zheng, Zhuojun Huang, Chengfei Cai, Chuankun Wang, Xiaojian Zhen, Lu Yu, Zhaoyang Zhang, Tony Q.S. Quek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Video surveillance systems or Internet of Multimedia Things (IoMT) are playing a more and more important role in our daily life. To obtain useful surveillance information timely and accurately, not only image recognition algorithm but also computing and communication resources can be bottlenecks of the whole system. In this work, taking face recognition application as an example, we study how to build video surveillance systems by utilizing mobile edge computing (MEC), one of the 5G's key technologies. Specifically, to achieve high recognition accuracy and low recognition time, we design image recognition algorithms for both the camera sensor and MEC server, and utilize Q-learning based approach to train actions of the system by jointly optimizing offloading decision and image compression parameter. Experiment results show the advantages of the proposed system design for enabling network-adaptive, efficient, and intelligent video surveillance.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Communication Systems, ICCS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages286-291
Number of pages6
ISBN (Electronic)9781538678640
DOIs
Publication statusPublished - 2018 Jul 2
Event16th IEEE International Conference on Communication Systems, ICCS 2018 - Chengdu, China
Duration: 2018 Dec 192018 Dec 21

Publication series

Name2018 IEEE International Conference on Communication Systems, ICCS 2018

Conference

Conference16th IEEE International Conference on Communication Systems, ICCS 2018
CountryChina
CityChengdu
Period18-12-1918-12-21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Aerospace Engineering

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